A New Taxonomy of Web Search: A User-Centered Framework for Search Intent in the AI Era
Elsa Lichtenegger, Aleksandra Urman, Aniko Hannak
2026年份
2被引次数
摘要
Web search engines have evolved drastically over the past two decades, transitioning from simple link providers to direct answer providers. AI technologies, particularly generative large language models, have accelerated this shift by embedding conversational and personalized features directly into search systems. As a result, user expectations and approaches to search have fundamentally changed.
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